Yolo-12-everything/datasets/train/labels/2010_004160_jpg.rf.96a67d2d9dfa7ae83dfb1f97ad5782d4.txt

14 0.4560546875 0.4326171875 0.083984375 0.240234375
12 0.6181640625 0.470703125 0.23046875 0.28515625
12 0.80859375 0.4736328125 0.33984375 0.361328125
14 0.5966796875 0.3173828125 0.06640625 0.169921875
6 0.0986328125 0.3955078125 0.197265625 0.181640625
12 0.4580078125 0.34765625 0.087890625 0.0625
14 0.390625 0.314453125 0.02734375 0.044921875
14 0.3564453125 0.3115234375 0.0234375 0.037109375
14 0.869140625 0.318359375 0.037109375 0.0703125
feat(datasets): 添加新的训练和验证标签文件 - 在 train 和 valid 文件夹下添加了多个新的标签文件 - 标签文件包含不同类别的对象标注信息- 新增的标签文件将有助于模型训练和评估 2025-06-03 15:13:32 +00:00			`14 0.4560546875 0.4326171875 0.083984375 0.240234375`
			`12 0.6181640625 0.470703125 0.23046875 0.28515625`
			`12 0.80859375 0.4736328125 0.33984375 0.361328125`
			`14 0.5966796875 0.3173828125 0.06640625 0.169921875`
			`6 0.0986328125 0.3955078125 0.197265625 0.181640625`
			`12 0.4580078125 0.34765625 0.087890625 0.0625`
			`14 0.390625 0.314453125 0.02734375 0.044921875`
			`14 0.3564453125 0.3115234375 0.0234375 0.037109375`
			`14 0.869140625 0.318359375 0.037109375 0.0703125`